Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag model is chosen. The results show that a sharp...

This paper examines the predictive power of five linear hedonic pricing models for the residential market with varying complexity in their spatial and temporal structure. In contrast to similar studies, we extend the out-of-sample forecast evaluation to one-day-ahead predictions with a rolling...

This paper proposes a predictive maintenance policy using modified failure mode effect and criticality analysis (Mod-FMECA) technique. FMECA is used to identify failure modes, reasons, effects and criticality of the system (machine/plant) but in Mod-FMECA in addition to the analysis carried for...

Most of predictive maintenance technologies are inaccessible to small scale and medium scale industries due to their demanding cost. This paper proposes a predictive maintenance policy using failure mode effect and criticality analysis (FMECA) and non-homogeneous Poisson process (NHPP) models...

Purpose: To assess the predictive validity of Lott and Varney's (2022) ordinary least squares (OLS) multiple regression (MRA) causal model of the effect of immigrant population numbers, as a proportion of the total population, on the homicide victim rate for 31 European countries.Methods: The...

In this paper the out-of-sample prediction of Value-at-Risk by means of models accounting for higher moment dynamics is studied. We consider models differing in terms of skewness and urtosis and, in particular, the GARCHDSK model, which allows for dynamic skewness and kurtosis. The issue of VaR...

This paper uses a meta-analysis to survey existing factor forecast applications for output and inflation and assesses what causes large factor models to perform better or more poorly at forecasting than other models. Our results suggest that factor models tend to outperform small models, whereas...

Even with the presence of numerous institutional players in the market, there exist a noticeable number of cash group shares which are hardly transacted. To sustain the growth of investors in the market, there is need for assuring easy and quick liquidity to the securities. To serve the same...

This paper evaluates short-run out-of-sample exchange rate predictability with real-time data for 15 OECD countries from 1973 to 2013. We consider the Taylor rule fundamentals model, where the variables that enter the Taylor rule are used to forecast exchange rate changes, and the Taylor rule...